Skip to main content
Log in

Using Participatory Design to Inform the Connected and Open Research Ethics (CORE) Commons

  • Original Research/Scholarship
  • Published:
Science and Engineering Ethics Aims and scope Submit manuscript

Abstract

Mobile health (mHealth) research involving pervasive sensors, mobile apps and other novel data collection tools and methods present new ethical, legal, and social challenges specific to informed consent, data management and bystander rights. To address these challenges, a participatory design approach was deployed whereby stakeholders contributed to the development of a web-based commons to support the mHealth research community including researchers and ethics board members. The CORE (Connected and Open Research Ethics) platform now features a community forum, a resource library and a network of nearly 600 global members. The utility of the participatory design process was evaluated by analyzing activities carried out over an 8-month design phase consisting of 86 distinct events including iterative design deliberations and social media engagement. This article describes how participatory design yielded 55 new features directly mapped to community needs and discusses relationships to user engagement as demonstrated by a steady increase in CORE member activity and followers on Twitter.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Notes

  1. http://www.rwjf.org.

  2. http://hdexplore.calit2.net.

  3. http://quantifiedself.com.

  4. https://diyps.org, #wearenotwaiting.

  5. https://cdt.org.

  6. http://thecore.ucsd.edu/committee.

  7. https://www.primr.org.

  8. https://www.sbm.org.

  9. http://pervasivehealth.org.

  10. http://youtu.be/upy5UrKACw4.

  11. http://github.com.

  12. This analysis is confined to the initial design and development of the CORE platform between September 2015 and June 2016, and thereby excludes subsequent digital interviews and the events in early- and mid-2015. The early events are excluded because they happened before the idea of a platform had fully crystallized. The interviews are excluded because they functioned primarily to introduce subjects to the CORE platform, eliciting very little feedback that had measurable impact on platform features.

  13. http://thecore.ucsd.edu/network.

  14. https://fpf.org.

References

  • Bloss, C., Nebeker, C., Bietz, M., Bae, D., Bigby, B., Devereaux, M., et al. (2016). Reimagining human research protections for 21st century science. Journal of Medical Internet Research,18(12), e329. https://doi.org/10.2196/jmir.6634.

    Article  Google Scholar 

  • Bort-Roig, J., Gilson, N. D., Puig-Ribera, A., Contreras, R. S., & Trost, S. G. (2014). Measuring and influencing physical activity with smartphone technology: A systematic review. Sports Medicine (Auckland, N.Z.),44(5), 671–686. https://doi.org/10.1007/s40279-014-0142-5.

    Article  Google Scholar 

  • Dunseath, S., Weibel, N., Bloss, C. S., & Nebeker, C. (2018). NIH support of mobile, imaging, pervasive sensing, social media and location tracking (MISST) research: Laying the foundation to examine research ethics in the digital age. npj Digital Medicine,1(1), 20171. https://doi.org/10.1038/s41746-017-0001-5.

    Article  Google Scholar 

  • Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., et al. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature,542(7639), 115–118. https://doi.org/10.1038/nature21056.

    Article  Google Scholar 

  • Galna, B., Barry, G., Jackson, D., Mhiripiri, D., Olivier, P., & Rochester, L. (2014). Accuracy of the Microsoft Kinect sensor for measuring movement in people with Parkinson’s disease. Gait & Posture,39(4), 1062–1068. https://doi.org/10.1016/j.gaitpost.2014.01.008.

    Article  Google Scholar 

  • Hashemi, J., Tepper, M., Vallin Spina, T., Esler, A., Morellas, V., Papanikolopoulos, N., et al. (2014). Computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants. Autism Research and Treatment,2014, 1–12. https://doi.org/10.1155/2014/935686.

    Article  Google Scholar 

  • Hodges, S., Williams, L., Berry, E., Izadi, S., Srinivasan, J., Butler, A., & et al. (2006). SenseCam: A retrospective memory aid. In Proceedings of Ubicomp 2006 (pp. 177–193). https://doi.org/10.1007/11853565_11.

    Google Scholar 

  • Kelly, P., Marshall, S. J., Badland, H., Kerr, J., Oliver, M., Doherty, A. R., et al. (2013). An ethical framework for automated, wearable cameras in health behavior research. American Journal of Preventive Medicine,44(3), 314–319. https://doi.org/10.1016/j.amepre.2012.11.006.

    Article  Google Scholar 

  • Kerr, J., Marshall, S. J., Godbole, S., Chen, J., Legge, A., Doherty, A. R., et al. (2013). Using the SenseCam to improve classifications of sedentary behavior in free-living settings. American Journal of Preventive Medicine,44(3), 290–296. https://doi.org/10.1016/j.amepre.2012.11.004.

    Article  Google Scholar 

  • Lane, N. D., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., & Campbell, A. T. (2010). A survey of mobile phone sensing. IEEE Communications Magazine,48(9), 140–150. https://doi.org/10.1109/MCOM.2010.5560598.

    Article  Google Scholar 

  • Lave, J. (1991). Situating learning in communities of practice. In Perspectives on socially shared cognition. (Vol. 2, pp. 63–82). Washington: American Psychological Association. https://doi.org/10.1037/10096-003.

  • Lidz, C. W., & Garverich, S. (2013). What the ANPRM missed: Additional needs for IRB reform. The Journal of Law, Medicine & Ethics: A Journal of the American Society of Law, Medicine & Ethics,41(2), 390–396. https://doi.org/10.1111/jlme.12050.

    Article  Google Scholar 

  • Mariakakis, A., & Patel, S. (2016). Ocular symptom detection using smartphones. In Proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing: Adjunct (pp. 435–440). New York, NY, USA: ACM. https://doi.org/10.1145/2968219.2971354.

  • Marinac, C., Merchant, G., Godbole, S., Chen, J., Kerr, J., Clark, B., & et al. (2013). The feasibility of using SenseCams to measure the type and context of daily sedentary behaviors. In ACM international conference proceeding series, pp. 42–49. https://doi.org/10.1145/2526667.2526674.

  • Martin, R. C. (2003). Agile software development: Principles, patterns, and practices. Upper Saddle River, NJ: Prentice Hall PTR.

    Google Scholar 

  • McKinley, D. C., Miller-Rushing, A. J., Ballard, H. L., Bonney, R., Brown, H., Cook-Patton, S. C., et al. (2017). Citizen science can improve conservation science, natural resource management, and environmental protection. Biological Conservation,208, 15–28. https://doi.org/10.1016/j.biocon.2016.05.015.

    Article  Google Scholar 

  • Murnane, E. L., & Counts, S. (2014). Unraveling abstinence and relapse: Smoking cessation reflected in social media. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 1345–1354). New York, NY: ACM. https://doi.org/10.1145/2556288.2557145.

  • Nebeker, C. (2017). Getting to the CORE of MISST-related research. Amp&rsand: The PRIM&R blog. https://blog.primr.org/core-misst-research/. Accessed January 16, 2019.

  • Nebeker, C., Harlow, J., Espinoza Giacinto, R., Orozco-Linares, R., Bloss, C. S., & Weibel, N. (2017a). Ethical and regulatory challenges of research using pervasive sensing and other emerging technologies: IRB perspectives. AJOB Empirical Bioethics,8(4), 266–276. https://doi.org/10.1080/23294515.2017.1403980.

    Article  Google Scholar 

  • Nebeker, C., Lagare, T., Takemoto, M., Lewars, B., Crist, K., Bloss, C. S., et al. (2016). Engaging research participants to inform the ethical conduct of mobile imaging, pervasive sensing, and location tracking research. Translational Behavioral Medicine,6(4), 577–586. https://doi.org/10.1007/s13142-016-0426-4.

    Article  Google Scholar 

  • Nebeker, C., Murray, K., Holub, C., Haughton, J., & Arredondo, E. M. (2017b). Acceptance of mobile health in communities underrepresented in biomedical research: Barriers and ethical considerations for scientists. JMIR mHealth and uHealth,5(6), e87. https://doi.org/10.2196/mhealth.6494.

    Article  Google Scholar 

  • Nebeker, C., Orozco-Linares, R., & Crist, K. (2015). A multi-case study of research using mobile imaging, sensing and tracking technologies to objectively measure behavior: Ethical issues and insights to guide responsible research practice. Journal of Research Administration,46(1), 118–134.

    Google Scholar 

  • Norman, D., & Draper, S. (1986). User centered system design: New perspectives on human-computer interaction. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.

    Book  Google Scholar 

  • Ramesh, V., Rick, S., Agrawal, K., Meyers, B., Cauwenberghs, G., & Weibel, N. (2016). A neurobehavioral evaluation system using 3d depth tracking and computer vision: The case of stroke-kinect. In Society for Neuroscience, Posters.

  • Schuler, D., & Namioka, A. (1993). Participatory design: Principles and practices. Hillsdale, NJ: Lawrence Erlbaum Associates Inc.

    Google Scholar 

  • Thangarajan, N., Green, N., Gupta, A., Little, S., & Weibel, N. (2015). Analyzing social media to characterize local HIV at-risk populations. In Proceedings of the conference on Wireless HealthWH’15 (pp. 1–8). New York, NY: ACM. https://doi.org/10.1145/2811780.2811923.

  • Triantafyllidis, A. K., Velardo, C., Salvi, D., Shah, S. A., Koutkias, V. G., & Tarassenko, L. (2017). A survey of mobile phone sensing, self-reporting, and social sharing for pervasive healthcare. IEEE Journal of Biomedical and Health Informatics,21(1), 218–227. https://doi.org/10.1109/JBHI.2015.2483902.

    Article  Google Scholar 

  • Vayena, E., & Blasimme, A. (2018). Health research with big data: Time for systemic oversight. The Journal of Law, Medicine & Ethics,46(1), 119–129. https://doi.org/10.1177/1073110518766026.

    Article  Google Scholar 

  • Vitak, J., Proferes, N., Shilton, K., & Ashktorab, Z. (2017). Ethics regulation in social computing research: Examining the role of institutional review boards. Journal of Empirical Research on Human Research Ethics. https://doi.org/10.1177/1556264617725200.

    Article  Google Scholar 

  • Vitak, J., Shilton, K., & Ashktorab, Z. (2016). Beyond the Belmont Principles: Ethical challenges, practices, and beliefs in the online data research community. In Proceedings of the 19th ACM conference on computer-supported cooperative work and social computingCSCW’16 (pp. 939–951). New York, NY: ACM Press. https://doi.org/10.1145/2818048.2820078.

  • Wang, R., Chen, F., Chen, Z., Li, T., Harari, G., Tignor, S., & et al. (2014). StudentLife: Assessing mental health, academic performance and behavioral trends of college students using smartphones. In Ubicomp’14, 3–14. https://doi.org/10.1145/2632048.2632054.

  • Wenger, E. (2001). Communities of practice: Learning, meaning, and identity. New York, NY: Cambridge University Press.

    Google Scholar 

  • Wenger-Trayner, E., & Wenger-Trayner, B. (2015). Communities of practice: A brief introduction. http://wenger-trayner.com/wp-content/uploads/2015/04/07-Brief-introduction-to-communities-of-practice.pdf. Accessed January 18, 2019.

  • Young, S. D., Rivers, C., & Lewis, B. (2014). Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes. Preventive Medicine,63, 112–115. https://doi.org/10.1016/j.ypmed.2014.01.024.

    Article  Google Scholar 

Download references

Acknowledgements

This research was supported by the Robert Wood Johnson Foundation (Title: Connected and Open Research Ethics (CORE), Principal Investigator: Nebeker, #72876, 2015-2017) and the UC San Diego Chancellor’s Interdisciplinary Collaboratory (Co-PIs: Nebeker, Weibel and Bloss). We thank the IRB community (members, analysts) and researchers who participated in interviews and working groups to guide the design of the CORE platform features. Human subjects protection statement: The research study was certified as Exempt (45 CFR 46.101) by the UC San Diego Human Research Protections Program.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Camille Nebeker.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Harlow, J., Weibel, N., Al Kotob, R. et al. Using Participatory Design to Inform the Connected and Open Research Ethics (CORE) Commons. Sci Eng Ethics 26, 183–203 (2020). https://doi.org/10.1007/s11948-019-00086-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11948-019-00086-3

Keywords

Navigation